Simon D. Angus

24 papers receiving 510 citations

Peers

Simon D. Angus
Comparison fields: 5 of 120
  • Modeling and Simulation 38
  • Computer Science Applications 40
  • Orthopedics and Sports Medicine 49
  • Surfaces, Coatings and Films 42
  • Safety Research 42
Replace Elizabeth Godfrey with:
Elizabeth Godfrey New Zealand
Daniel J.H. Greenwood United States
Chia‐Ling Lee Taiwan
Larisa Mihoreanu Romania
Shih‐Hsun Hsu Taiwan
David Barlex United Kingdom
Fariba Karimi Austria
Xiaoxue Li China
Chia-Yu Wang Taiwan
Sérgio Da Silva Brazil
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Citations per year

Countries citing papers authored by Simon D. Angus

Since Specialization
Citations

This map shows the geographic impact of Simon D. Angus's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Simon D. Angus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon D. Angus more than expected).

Fields of papers citing papers by Simon D. Angus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon D. Angus. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Simon D. Angus. The network helps show where Simon D. Angus may publish in the future.

Co-authors

The 25 scholars most cited alongside Simon D. Angus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simon D. Angus Line = papers co-authored together Simon D. Angus links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009131
2 2003109
3 201349
4 200935
5 201531
6 201424
7 200223
8 201523
9 201522
10 201119
11 201018
12 201912
13 202110
14 20197
15 20147
16 20205
17 20203
18 20133
19 20173
20 20242

About Simon D. Angus

Simon D. Angus is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics, Management Science and Operations Research, Economics and Econometrics and Organic Chemistry, having authored 27 papers that have together received 542 indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (6 papers), Opinion Dynamics and Social Influence (5 papers), Mathematical Biology Tumor Growth (2 papers), Behavioral Health and Interventions (2 papers), Advanced Polymer Synthesis and Characterization (2 papers), Polymer Surface Interaction Studies (2 papers), Block Copolymer Self-Assembly (2 papers) and Corporate Finance and Governance (2 papers). The work is most often cited by research in Modeling and Simulation (38 citations), Computer Science Applications (40 citations), Orthopedics and Sports Medicine (49 citations), Surfaces, Coatings and Films (42 citations) and Safety Research (42 citations). Simon D. Angus has collaborated with scholars based in Australia, Japan and Poland. Frequent co-authors include J. Wreford Watson, Jonathan Newton, Thomas P. Davis, Monika Joanna Piotrowska, Michael R. Whittaker, John F. Quinn, Martina H. Stenzel, Behrooz Hassani‐Mahmooei, Klaus Ackermann and Matthew J. Berryman. Their work appears in journals such as PLoS Computational Biology, Journal of Theoretical Biology, Medicine & Science in Sports & Exercise, Journal of Economic Behavior & Organization and Systems Research and Behavioral Science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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